Digital image watermark detection method based on multi-correlation hmt model

A digital image and watermark detection technology, applied in image watermarking, image data processing, image data processing, etc., can solve the problem of inaccurate models, low reliability, and failure to capture important information and features of two-dimensional images, etc. question

Inactive Publication Date: 2021-06-15
LIAONING NORMAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

The existing watermarking methods based on statistical models mostly use wavelet, contourlet and other transformations, which cannot capture the important information and characteristics of two-dimensional images well, and often use a correlation to model the coefficients, so the model is not accurate. Detection reliability is not high

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  • Digital image watermark detection method based on multi-correlation hmt model
  • Digital image watermark detection method based on multi-correlation hmt model
  • Digital image watermark detection method based on multi-correlation hmt model

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Embodiment Construction

[0057] Digital image watermark detection method based on multi-correlation HMT model of the present invention:

[0058] Agreement: Q refers to the main image; Refers to the subband in the direction of the NSST domain of the NSST domain energy, the NSST domain energy maximum subband; S1, S2 represents the two children of S; T represents the neighbor of S Subband; * Indicates the maximum subband containing the watermark NSST domain; Indicates a binary watermark sequence of length K; Indicates K high entropy blocks elected from the maximum energy subband; Indicates the coefficients in each high entropy block; Refers to the watermark coefficients in each high entropy block; f represents a collection of coefficients used for watermark embedding in each high entropy block; In a watermark image; For the state transition probability; m is the number of state; Location parameters; Scale parameters; For the covariance matrix;

[0059] Watermark is embedded Figure 7 As shown, accordi...

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Abstract

The invention discloses a digital image watermark embedding and extraction method based on a multi-correlation HMT model. Firstly, the NSST domain sub-band with the largest host image energy is selected as the optimal sub-band for watermark embedding, and its coefficients are modified by a multiplicative embedding method. And merge the subband of the modified coefficient with other subbands for NSST reconstruction to obtain a watermarked image; select the high entropy block in the NSST domain subband with the largest energy of the watermarked image and use BKF‑VB‑HMM for its coefficients Modeling, the parameters of the model are estimated by using the correlation coefficients within subbands, between scales, and within scale directions; finally, an optimal detector is designed to detect the specific watermark information embedded in each high-entropy block by using the maximum likelihood test method, and Sort in order to obtain the final watermark sequence.

Description

Technical field [0001] The present invention relates to a digital image watermark method based on a statistical model, and more particularly to a digital image watermark detection method based on a multicolored HMT model. Background technique [0002] In today's society, the development of information technology is rapid, and Internet culture can be seen in people's daily lives. The damage and illegal copy and dissemination of image copyright have urged people to have the best digital image watermark technology to solve the image information security crisis. There is a watermarking method based on statistical model, with a multi-wavelet, contour wave and other transformation, and it is not possible to capture important information and characteristics of the two-dimensional image, and often use a correlation to establish a model for the coefficient, so the model is not accurate. The credibility of the detection is not high. Inventive content [0003] The present invention is to s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T1/00
CPCG06T1/005
Inventor 杨红颖徐欢牛盼盼王向阳
Owner LIAONING NORMAL UNIVERSITY
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